Open Access
Subscription or Fee Access
Estimation of Population Mean Using Linear Combination of Population Variance and Function of Quartiles of Auxiliary Variable
Abstract
This paper deals with some new modified ratio estimators using the linear combination of population variance, quartiles and its function of an auxiliary variable. Many attempts have been made in the past to develop the modified ratio estimators for the estimation of the population mean of the study variable using coefficient of variation, coefficient of kurtosis, coefficient of skewness, population correlation coefficient, quartile, quartile deviation, deciles, median and the linear combinations of the auxiliary variable. The mean square error equations of all proposed ratio estimators are obtained theoretically and the efficiency comparisons have been made. An empirical study has been conducted also to support the findings of this study.
Keywords
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.